Submitted the ticket at http://projects.scipy.org/numpy/ticket/2082
On Thu, Mar 15, 2012 at 1:24 PM, Gökhan Sever <gokhanse...@gmail.com> wrote: > > > On Thu, Mar 15, 2012 at 1:12 PM, Pierre GM <pgmdevl...@gmail.com> wrote: > >> Ciao Gökhan, >> AFAIR, shrink is used only to force a collapse of a mask full of False, >> not to force the creation of such a mask. >> Now, it should work as you expected, meaning that it needs to be fixed. >> Could you open a ticket? And put me in copy, just in case. >> Anyhow: >> Your trick is a tad dangerous, as it erases the previous mask. I'd prefer >> to create x w/ a full mask, then use masked_values w/ shrink=False... Now, >> if you're sure there's x= no masked values, go for it. >> Cheers >> >> This condition checking should make it stronger: > > I7 x = np.array([1, 1.1, 2, 1.1, 3]) > > I8 y = np.ma.masked_values(x, 1.5) > > I9 if y.mask == False: > y.mask = np.zeros(len(x), dtype=np.bool)*True > ...: > > I10 y.mask > O10 array([False, False, False, False, False], dtype=bool) > > I11 y > O11 > masked_array(data = [1.0 1.1 2.0 1.1 3.0], > mask = [False False False False False], > fill_value = 1.5) > > How do you create "x w/ a full mask"? > > -- > Gökhan > -- Gökhan
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